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Visualytics provides a full suite of visualization and analysis technologies that can be deployed across a wide range of platforms ranging from Desktop PCs running Windows or Linux, browser-based systems and mobile PDAs. We offer full client-server architectures for large-scale distributed and high-performance applications, as well as compact minimal systems with light-weight footprint. We can work with a wide range of data sources, including SQL relational databases, real time data streams, XML files, and HLA/DIS simulator outputs. Some of our major components and technologies are described in the sections below.
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 Current systems for viewing network activity do not work well on mobile, dynamic, ad-hoc networks with varying topologies that are increasingly common in the world around us. Better viewing tools are required that provide a greater understanding of network behavior as the network dynamically evolves.
Our research has developed a suite of intuitive, continuous and visually persistent representations that are robust in the presence of messy and changing network data. We provide a fully integrated and linked set of higher-level task-specific views, along with lower-level detail views.
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Read more... [Qualitative Network Visualization]
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 In real world situations, information that needs to be analyzed is not always completely certain. It is necessary to overcome the uncertainties in this information, while at the same time avoiding the paralysis of analysis. We have developed a toolkit of techniques for visually conveying uncertainties in information to the user in manners ranging from subtle cues for noting small details to large attention gatherers for ensuring that large uncertainties are not overlooked.
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Read more... [Visualization of Uncertain Information]
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 Is there one “correct” view of your information? Perhaps, if you have only one question to answer. more likely however, you have many questions that you would like to answer. You likely also have many different users who might all be asking different sets of questions. Traditional approaches to information visualization work within the single view paradigm, attempting to provide the one “correct” view of your information that can answer all questions. Some other approaches to information visualization use “linked” views which propagate selections across views in different windows. These linked views help integrate multiple views to an extent, but they still incur significant cognitive overhead through the spatial discontinuities between views, and this overhead quickly overwhelms our ability to comprehend the collection of views.
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Read more... [MLV: Multi-Level View Visualization]
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 The Visualization Graphics Library™ (VGL) is bringing the next generation of sophisticated visual representations to the commodity level desktop and laptop. VGL is a robust, powerful and expressive graphics library that lets the programmer rapidly create intuitive and qualitative representations of information that connect with viewers at a deeper level than traditional "pixel and polygon" visualization techniques. The world we live in is a rich and complex environment with depth, complexity and shades of meaning. VGL helps to capture some of that depth and complexity and convey it to the viewer in real-time.
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Read more... [VGL: Next Generation Visualization Graphics]
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